submission_id: chaiml-sao10k-l3-rp-v3-3_v5
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1208.86
display_name: sao10k-l3-rp-v3-3_v8
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: True
language_model: ChaiML/sao10k-l3-rp-v3-3
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: ChaiML/sao10k-l3-rp-v3-3
model_name: sao10k-l3-rp-v3-3_v8
model_num_parameters: 8030261248.0
model_repo: ChaiML/sao10k-l3-rp-v3-3
model_size: 8B
num_battles: 1055739
num_wins: 563555
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-07-04T13:42:46+00:00
us_pacific_date: 2024-07-04
win_ratio: 0.5338014414547535
Resubmit model
Running pipeline stage MKMLizer
Starting job with name chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer
Waiting for job on chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer to finish
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ _____ __ __ ║
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chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ /___/ ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ Version: 0.8.14 ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ https://mk1.ai ║
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chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ Chai Research Corp. ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Downloaded to shared memory in 45.935s
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: quantizing model to /dev/shm/model_cache
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<10:41, 2.22s/it] Loading 0: 5%|▌ | 16/291 [00:04<00:57, 4.80it/s] Loading 0: 11%|█▏ | 33/291 [00:04<00:21, 11.81it/s] Loading 0: 18%|█▊ | 51/291 [00:04<00:11, 21.36it/s] Loading 0: 22%|██▏ | 65/291 [00:05<00:08, 26.09it/s] Loading 0: 28%|██▊ | 81/291 [00:05<00:05, 37.36it/s] Loading 0: 33%|███▎ | 97/291 [00:05<00:03, 50.56it/s] Loading 0: 39%|███▉ | 114/291 [00:05<00:02, 65.99it/s] Loading 0: 45%|████▌ | 132/291 [00:05<00:01, 82.69it/s] Loading 0: 52%|█████▏ | 150/291 [00:05<00:01, 98.07it/s] Loading 0: 57%|█████▋ | 166/291 [00:05<00:01, 76.13it/s] Loading 0: 63%|██████▎ | 182/291 [00:06<00:01, 89.94it/s] Loading 0: 68%|██████▊ | 198/291 [00:06<00:00, 102.67it/s] Loading 0: 73%|███████▎ | 213/291 [00:06<00:00, 111.94it/s] Loading 0: 79%|███████▉ | 231/291 [00:06<00:00, 124.92it/s] Loading 0: 86%|████████▌ | 249/291 [00:06<00:00, 134.34it/s] Loading 0: 91%|█████████▏| 266/291 [00:06<00:00, 90.22it/s] Loading 0: 98%|█████████▊| 284/291 [00:06<00:00, 104.89it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: quantized model in 22.852s
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Processed model ChaiML/sao10k-l3-rp-v3-3 in 68.788s
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v5
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v5/config.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v5/special_tokens_map.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v5/tokenizer_config.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v5/tokenizer.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v5/flywheel_model.0.safetensors
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: return self.fget.__get__(instance, owner)()
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Saving duration: 0.496s
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 16.602s
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: creating bucket guanaco-reward-models
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: DEBUG retryable error: RequestError: send request failed
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: caused by: dial tcp 216.153.53.63:443: i/o timeout
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward/tokenizer_config.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward/special_tokens_map.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward/merges.txt
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward/vocab.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward/tokenizer.json
chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v5_reward/reward.tensors
Job chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer completed after 199.7s with status: succeeded
Stopping job with name chaiml-sao10k-l3-rp-v3-3-v5-mkmlizer
Pipeline stage MKMLizer completed in 201.99s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.46s
Running pipeline stage ISVCDeployer
Creating inference service chaiml-sao10k-l3-rp-v3-3-v5
Waiting for inference service chaiml-sao10k-l3-rp-v3-3-v5 to be ready
Inference service chaiml-sao10k-l3-rp-v3-3-v5 ready after 72.21220397949219s
Pipeline stage ISVCDeployer completed in 74.52s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.4049978256225586s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.4147439002990723s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.4225752353668213s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.380650043487549s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.8469271659851074s
5 requests
0 failed requests
5th percentile: 1.9536717414855957
10th percentile: 2.060416316986084
20th percentile: 2.2739054679870607
30th percentile: 2.385519599914551
40th percentile: 2.3952587127685545
50th percentile: 2.4049978256225586
60th percentile: 2.408896255493164
70th percentile: 2.4127946853637696
80th percentile: 2.416310167312622
90th percentile: 2.4194427013397215
95th percentile: 2.4210089683532714
99th percentile: 2.422261981964111
mean time: 2.2939788341522216
Pipeline stage StressChecker completed in 15.00s
chaiml-sao10k-l3-rp-v3-3_v5 status is now deployed due to DeploymentManager action
chaiml-sao10k-l3-rp-v3-3_v5 status is now inactive due to admin request
admin requested tearing down of chaiml-sao10k-l3-rp-v3-3_v5
Running pipeline stage ISVCDeleter
Checking if service chaiml-sao10k-l3-rp-v3-3-v5 is running
Tearing down inference service chaiml-sao10k-l3-rp-v3-3-v5
Service chaiml-sao10k-l3-rp-v3-3-v5 has been torndown
Pipeline stage ISVCDeleter completed in 6.66s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key chaiml-sao10k-l3-rp-v3-3-v5/config.json from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/config.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.65s
chaiml-sao10k-l3-rp-v3-3_v5 status is now torndown due to DeploymentManager action